Instructions to use jhliu/ClinicalNoteBERT-base-note_ntp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhliu/ClinicalNoteBERT-base-note_ntp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jhliu/ClinicalNoteBERT-base-note_ntp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jhliu/ClinicalNoteBERT-base-note_ntp: direct link, hf CLI and curl.
- Browser
- Download file 534 MB
-
https://huggingface.co/jhliu/ClinicalNoteBERT-base-note_ntp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jhliu/ClinicalNoteBERT-base-note_ntp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jhliu/ClinicalNoteBERT-base-note_ntp/resolve/main/pytorch_model.bin
534 MB
- Xet hash:
- 6ac7252498e41559bbdb15c85462b7d33cd7e4afe8cad7395f92deda9e07b6d0
- Size of remote file:
- 534 MB
- SHA256:
- 2eb939b457ac3242b23f4b805d1f4a097ae04c6fc473ddb348f12a1b7e41532f
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